{"id":"https://openalex.org/W4413319382","doi":"https://doi.org/10.1109/iwasi66786.2025.11121988","title":"EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization","display_name":"EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W4413319382","doi":"https://doi.org/10.1109/iwasi66786.2025.11121988"},"language":"en","primary_location":{"id":"doi:10.1109/iwasi66786.2025.11121988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwasi66786.2025.11121988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Workshop on Advances in Sensors and Interfaces (IWASI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119347495","display_name":"Benjamin Hodo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Benjamin Hodo","raw_affiliation_strings":["ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090142795","display_name":"Tommaso Polonelli","orcid":"https://orcid.org/0000-0003-0405-3612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tommaso Polonelli","raw_affiliation_strings":["ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004927822","display_name":"Amirhossein Moallemi","orcid":"https://orcid.org/0000-0002-7973-5493"},"institutions":[{"id":"https://openalex.org/I4210133539","display_name":"3D Technology Laboratories (United States)","ror":"https://ror.org/03fffdr10","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133539"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amirhossein Moallemi","raw_affiliation_strings":["RTDT Laboratories,Switzerland"],"affiliations":[{"raw_affiliation_string":"RTDT Laboratories,Switzerland","institution_ids":["https://openalex.org/I4210133539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066423975","display_name":"Michele Magno","orcid":"https://orcid.org/0000-0003-0368-8923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michele Magno","raw_affiliation_strings":["ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich,D-ITET,Z&#x00FC;rich,Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119347495"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19742569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7471160888671875},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.673336386680603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6520542502403259},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5248018503189087},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4868752062320709},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.4566078186035156},{"id":"https://openalex.org/keywords/gas-compressor","display_name":"Gas compressor","score":0.4563267230987549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42176949977874756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.27834224700927734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26825645565986633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16044774651527405},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12686777114868164},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06844508647918701}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7471160888671875},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.673336386680603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520542502403259},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5248018503189087},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4868752062320709},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.4566078186035156},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.4563267230987549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42176949977874756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27834224700927734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26825645565986633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16044774651527405},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12686777114868164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06844508647918701}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iwasi66786.2025.11121988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwasi66786.2025.11121988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Workshop on Advances in Sensors and Interfaces (IWASI)","raw_type":"proceedings-article"},{"id":"pmh:doi:10.3929/ethz-c-000788686","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11850/788686","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:cris.unibo.it:11585/1040851","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/1040851","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1481955708","https://openalex.org/W2131738223","https://openalex.org/W2486202470","https://openalex.org/W2803749063","https://openalex.org/W3010701323","https://openalex.org/W3125626969","https://openalex.org/W3181755449","https://openalex.org/W3201873277","https://openalex.org/W4292972809","https://openalex.org/W4313396195","https://openalex.org/W4392909842","https://openalex.org/W4401808707","https://openalex.org/W4402915209","https://openalex.org/W4406592028"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072","https://openalex.org/W2181453615"],"abstract_inverted_index":{"Data":[0],"Compression":[1,148],"is":[2,16,42],"a":[3,64,92,117,126,136,147,172],"staple":[4],"of":[5,31,46,181],"data":[6,13,48,62,115],"processing":[7],"and":[8,11,33,50,87,106,153,167],"storage.":[9],"Sending":[10],"storing":[12],"more":[14],"efficiently":[15],"an":[17,177],"open":[18],"challenge":[19],"in":[20,39,125,159,197],"the":[21,43,69,102,141,163,184,194,206,212],"Internet-of-Things":[22],"(IoT),":[23],"with":[24,68,116],"devices":[25],"typically":[26],"characterized":[27],"by":[28,53,59,78,209],"limited":[29],"availability":[30],"energy":[32,207],"computing":[34],"power.":[35],"The":[36],"problem":[37],"tackled":[38],"this":[40,57],"paper":[41],"massive":[44],"amounts":[45],"sensor":[47],"collected":[49],"sent":[51],"uncompressed":[52],"IoT-devices.":[54],"We":[55,122],"address":[56],"issue":[58],"compressing":[60],"local":[61],"using":[63,135],"neural":[65,80,95],"network":[66],"supplemented":[67],"Residual":[70],"Vector":[71],"Quantization":[72],"(RVQ)":[73],"technique.":[74],"This":[75],"paper,":[76],"inspired":[77],"lossy":[79,94],"compressors":[81],"for":[82,211],"audio":[83],"like":[84],"Google":[85],"Soundstream":[86],"Meta":[88],"EnCodec,":[89],"proposes":[90],"EdgeCodec:":[91],"lightweight":[93],"compressor":[96],"specifically":[97],"designed":[98],"to":[99,161,192],"run":[100],"at":[101],"edge":[103],"on":[104],"low-power":[105,173],"resource":[107],"constrained":[108],"Microcontroller":[109],"Units":[110],"(MCUs).":[111],"EdgeCodec":[112,124,145,175,203],"processes":[113],"multi-channel":[114],"flexible":[118],"end-to-end":[119],"learnable":[120],"pipeline.":[121],"evaluate":[123],"real-life":[127],"challenging":[128],"use":[129],"case,":[130],"namely":[131],"wind":[132],"turbine":[133],"monitoring":[134],"40-channel":[137],"barometric":[138],"sensor.":[139],"Under":[140],"proposed":[142],"use-case,":[143],"our":[144],"reaches":[146],"Ratio":[149],"(CR)":[150],"between":[151,165],"2560":[152],"10240":[154],"that":[155],"can":[156,204],"be":[157],"varied":[158],"real-time":[160],"tune":[162],"trade-off":[164],"compression":[166],"reconstruction":[168,179],"quality.":[169],"Executed":[170],"onboard":[171],"MCU,":[174],"achieves":[176],"average":[178],"error":[180],"2.54%":[182],"over":[183],"whole":[185],"validation":[186],"set.":[187],"It":[188],"requires":[189],"only":[190],"52.6ms":[191],"compress":[193],"16kb":[195],"generated":[196],"1s.":[198],"Final":[199],"results":[200],"demonstrate":[201],"how":[202],"reduce":[205],"consumption":[208],"2.9x":[210],"required":[213],"wireless":[214],"transmission.":[215]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
